How This Briefing Works
This dossier opens with key findings, then maps the gap between what Factors.ai discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection evidence underneath. BLACKOUT observes runtime browser behavior and cites the regulations that address each pattern — legal determinations are your counsel's call.
At a Glance
across 18 sites
vendor fires before consent
Briefing
Factors.ai provides visitor identification and account-based analytics through fingerprinting and identity resolution. Deploys via tag manager injection to capture behavioral signals and match anonymous visitors to firmographic databases. Operates as surveillance layer positioned as marketing attribution, using persistent tracking and cross-site correlation to build comprehensive visitor profiles.
What This Means For You
Marketing teams gain account visibility but organization surrenders visitor behavioral data to third-party identity infrastructure. Every anonymous visitor session feeds Factors' matching algorithms and downstream data partners. Tag manager deployment enables capability expansion without security review, creating compliance blind spots as tracking evolves.
Risk Channel Breakdown
Replaces genuine behavioral attribution with Factors' account-based scoring, corrupting funnel analysis with black-box identity resolution and creating dependency on their matching algorithms
Feeds complete visitor behavioral data to third-party identity graph and firmographic providers - every anonymous session subsidizes database enrichment for competing platforms
Expands attack surface
Visitor identification without explicit consent creates GDPR exposure, particularly around special category data inference from behavioral patterns
Threat Indicators
Runtime-observed (BTI-C)
Keystroke/mouse tracking
Identity stitching
Ignoring CMP signals
PII deanonymization
Container/loader (neutral)
Per-code narrative explanations of what each detected behavior means for your organization
Per-code evidence with full attribution chain, severity rankings, and consequence narratives See pricing →
Claims vs. Reality
BLACKOUT analyzed Factors.ai's public claims against observed runtime behavior and identified 1 contradiction.
Full claim-vs-reality gap analysis with claim text, observed behavior, severity, regulatory citations (GDPR, CCPA, ePrivacy), and evidence pointers per gap See pricing →
What To Do
3 for current users · 3 for evaluators
contractual leverage points
Role-specific actions (security / legal / marketing / procurement), full negotiation brief with contractual language, and BTI-code-specific consequences See pricing →
Supply Chain & Pairings
googletagmanager, googleanalytics4, metapixel…
Full supply-chain mapping (loads / loaded-by lists with vendor identities) and the undisclosed-subprocessor list with observation evidence See pricing →